Table 5.

Associations between the four PPTS factors and gender [Female = 1 (n = 325), Male = 0 (n = 418)], Total time spent in prisons (time in prison), number of incarcerations (recidivism), serial killing, homicide, sex crime, weapon-related crime (weapon), domestic violence (domestic), white-collar crime, property crime, and drug-related crimes (drugs).

	Gender OR (95% CI)	Time in prison β (95% CI)	Recidivism β (95% CI)	Serial killing OR (95% CI)	Homicide OR (95% CI)	Sex crime OR (95% CI)	Weapon OR (95% CI)	Domestic OR (95% CI)	White-collar OR (95% CI)	Property OR (95% CI)	Drugs OR (95%CI)
AR	0.84∗∗ (0.73/0.96)	0.01 (-0.07/0.09)	0.06 (-0.02/0.14)	1.03 (0.83/1.27)	1.01 (0.87/1.17)	0.92 (0.77/1.12)	1.13 (0.96/1.32)	1.01 (0.70/1.44)	1.24∗ (1.01/1.52)	0.99 (0.85/1.16)	0.96 (0.83/1.11)
CR	0.96 (0.84/1.10)	0.08∗ (0.00/0.15)	0.01 (-0.07/0.09)	1.32∗∗ (1.07/1.62)	1.21∗ (1.04/1.41)	0.99 (0.82/1.20)	1.33∗∗∗ (1.12/1.58)	1.08 (0.71/1.64)	0.91 (0.71/1.17)	1.16∗ (1.01/1.37)	0.96 (0.82/1.12)
IPM	0.99 (0.89/1.096)	-0.05 (-0.13/.03)	0.10∗ (0.02/0.17)	0.91 (0.76/1.08)	0.88∗ (0.78/0.99)	0.93 (0.80/1.08)	1.10 (0.96/1.27)	1.07 (0.79/1.45)	1.25∗∗ (1.04/1.49)	1.13∗ (1.00/1.28)	1.21∗∗∗ (1.08/1.36)
EGO	0.99 (0.87/1.14)	0.02 (-0.06/0.10)	0.07 (-0.01/0.15)	0.91 (0.73/1.13)	0.95 (0.81/1.10)	1.01 (0.84/1.21)	0.98 (0.81/1.17)	1.90∗∗∗ (1.24/2.90)	1.02 (0.81/1.30)	1.04 (0.89/1.23)	1.07 (0.93/1.25)

Results from multiple logistic regression (OR with 95% CI) and multiple regression analyses (β with 95% CI). ^∗p < 0.05, ^∗∗p< 0.01, ^∗∗∗p< 0.001.